Evidence map›Paper›PMID 41466181›Full record

ArticleBMC infectious diseases2025

Utility of TaqMan Array Cards for detection of acute febrile illness etiologies in patients suspected of viral hemorrhagic fever infections.

Gloria Grace Akurut, Luke Nyakarahuka, Shannon Whitmer, Dianah Namanya, Kilama Kamugisha, Sophia Mulei, Jimmy Baluku, Alex Tumusime, Jackson Kyondo, Ketan Patel and 5 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Gloria Grace AkurutUganda Wildlife Authority Diagnostic and Research Laboratory, Queen Elizabeth National Park, Wildlife Authority, Kasese, Uganda. akurutgloria@gmail.com.
Luke NyakarahukaUganda Virus Research Institute, Entebbe, Uganda.
Shannon WhitmerCenters for Disease Control and Prevention, Atlanta, GA, USA.
Dianah NamanyaUganda Virus Research Institute, Entebbe, Uganda.
Kilama KamugishaUganda Wildlife Authority Diagnostic and Research Laboratory, Queen Elizabeth National Park, Wildlife Authority, Kasese, Uganda.
Sophia MuleiUganda Virus Research Institute, Entebbe, Uganda.
Jimmy BalukuUganda Virus Research Institute, Entebbe, Uganda.
Alex TumusimeUganda Virus Research Institute, Entebbe, Uganda.
Jackson KyondoUganda Virus Research Institute, Entebbe, Uganda.
Ketan PatelCenters for Disease Control and Prevention, Atlanta, GA, USA.
Julius J LutwamaUganda Virus Research Institute, Entebbe, Uganda.
Trevor ShoemakerCenters for Disease Control and Prevention, Atlanta, GA, USA.
Joel MontgomeryCenters for Disease Control and Prevention, Atlanta, GA, USA.
John D KlenaCenters for Disease Control and Prevention, Atlanta, GA, USA.
Stephen BalinandiUganda Virus Research Institute, Entebbe, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to the difficulty in attributing a causative agent to acute febrile illnesses (AFI), multi-pathogen diagnostic tools should be prioritized in low-resource settings. A previously developed AFI-TaqMan Array Card (AFI-TAC), capable of detecting 26 pathogens within 2 h of nucleic acid extraction, was evaluated in Uganda.

methodsA cross-sectional retrospective study design was employed and utilized 182 viral hemorrhagic fever (VHF)-negative samples collected from Uganda, DRC, South Sudan and Kenya during routine surveillance from August 2018- March, 2019. These samples were tested on AFI-TAC targeting 17 viral, 8 bacterial and 3 protozoal pathogens known to cause fever. Patients with a body temperature of ≥ 38 °C, were bleeding, and had any other febrile symptoms were included. Previously confirmed VHF positive samples were used for assay verification.

resultsOverall, 7 pathogens were detected in 59 samples (32.42%) as follows: Plasmodium spp. (n = 49, 26.92%), non-typhoidal Salmonella (n = 3, 1.65%), Yellow Fever (YF) virus (n = 2, 1.10%), Salmonella enterica serovar typhi (n = 2, 1.10%), Leptospira spp (n = 1, 0.55%), Streptococcus pneumoniae (n = 1, 0.55%) and Rickettsia spp. (n = 1, 0.55%). Final outcome (alive vs. dead) as abstracted from case report forms differed significantly by pathogen category (p = 0.002) was significantly associated with assay positivity. We compared outcome across pathogen categories using a chi-square/Fisher's exact test, as appropriate, reporting p-values (Table 2). Cough was the only clinical symptom significantly associated with Plasmodium infection (p = 0.016).

conclusionThe TAC is a feasible, readily adoptable diagnostic tool for use in Uganda and other sub-Saharan countries, particularly when incorporated into the national testing algorithm for differential diagnosis during AFI outbreaks and surveillance. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

FeverHemorrhagic Fevers, ViralMolecular Diagnostic TechniquesAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedRetrospective StudiesUgandaVirusesAcute febrile illnessTaqMan array cardViral hemorrhagic fever

Identifiers

PMID41466181
PMCPMC12751250

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.